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A Literature Review of the COVID-19 Pandemic’s Effect on Sustainable HRM

Author

Listed:
  • Xiaoyan Liang

    (International Business School, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Xiwei Zhang

    (Didasko Digital Research Centre, Didasko Group Affiliated to La Trobe University, Melbourne 3004, Australia)

  • Renee Paulet

    (Federation Business School, Federation University, Churchill 3842, Australia)

  • Leven Jianwen Zheng

    (Lee Shau Kee School of Business and Administration, Hong Kong Metropolitan University, Hong Kong, China)

Abstract

The ramifications of the COVID-19 pandemic continue to emerge across all facets of the world of work, including the field of human resource management (HRM). Sustainable HRM, drawing on the triple bottom line elements of the economic, environmental and social pillars of sustainability, provides an ideal basis from which to understand the intersection of the COVID-19 pandemic and HRM. In this systematic literature review, we analyze peer reviewed articles published in the nexus of the pandemic and sustainable HRM, identifying the dimensions and extent of research in this topical area of study. Our CEDEL model—complicator–exposer–disruptor–enabler–legitimizer—conceptualizes our understanding of the role of COVID-19 in sustainable HRM. This paper provides a framework from which future studies can benefit when investigating the impacts of COVID-19, and a comprehensive identification of future research avenues.

Suggested Citation

  • Xiaoyan Liang & Xiwei Zhang & Renee Paulet & Leven Jianwen Zheng, 2022. "A Literature Review of the COVID-19 Pandemic’s Effect on Sustainable HRM," Sustainability, MDPI, vol. 14(5), pages 1-26, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2579-:d:756954
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    References listed on IDEAS

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    1. An-Chi Wu & Duc-Dinh Kao, 2022. "Mapping the Sustainable Human-Resource Challenges in Southeast Asia’s FinTech Sector," JRFM, MDPI, vol. 15(7), pages 1-26, July.
    2. Xia, Huosong & Wang, Yuan & Zhang, Justin Zuopeng & Zheng, Leven J. & Kamal, Muhammad Mustafa & Arya, Varsha, 2023. "COVID-19 fake news detection: A hybrid CNN-BiLSTM-AM model," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

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